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Item type:Publication, Access status: without files , Impact of dynamic electricity pricing on cost-optimal dimensioning of building energy systems(IEEE, 2026-06); ; ; ; Integrating distributed renewable energy sources and time-varying electricity pricing mechanisms creates new optimization opportunities for building energy systems. This paper investigates how different electricity price structures influence the cost-optimal dimensioning and operation of energy infrastructure in residential buildings equipped with photovoltaic systems, heat pumps, battery storage, and thermal buffers. The results imply that, in theory, the building thermal mass offers enough flexibility to benefit from electricity price dynamics and no other storage in form of batteries or thermal buffer is needed. Furthermore, four tariff options are analyzed for their benefits and disadvantages for different building types.Publicationtype: Conference Paper48 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Tensor-based modeling framework for district heating pipes(Elsevier, 2026-04-25); ; ; ; District heating network simulation faces a fundamental computational challenge: traditional nonlinear models become intractable at large scales due to the curse of dimensionality, while linear models cannot accurately represent the nonlinear dynamics essential for district heating systems. Tensor-based methods have demonstrated effectiveness in modeling heating, ventilation, and air conditioning (HVAC) as well as local heating systems by providing a scalable compromise between accuracy and computational efficiency, yet their application to district heating networks is first described in this paper. This work applies multilinear time-invariant (MTI) modeling using a tensor-based framework for scalable representations of district heating networks.Tensor and multilinear functions efficiently represent the governing equations and their nonlinear relationships, especially the quadratic pressure-loss relationships defined by the Darcy-Weisbach equation and nonlinear friction factors across flow regimes without causing an exponential growth in model complexity. Binary variables model discontinuous transitions between laminar and turbulent flow, maintaining computational tractability while preserving physical accuracy. The tensor structure inherently avoids the curse of dimensionality that constrains conventional approaches by factorization. Benchmarking against established models on a small network shows minimal deviations alongside considerable memory reductions, demonstrating the potential of tensor-based methods for efficient simulation and optimization of large-scale district heating networks and supporting the integration of renewable energy sources and advanced control strategies essential for modern energy-efficient systems.Publicationtype: Journal Article16 14 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Solarpotenzialstudie für Hamburg. Nicht nur Schietwetter in Hamburg! - Typologisierung von Fallbeispielen und Ableitungen von Handlungsempfehlungen(Erneuerbare Energien Hamburg Clusteragentur GmbH, 2023-03); ; ; Die vom Erneuerbare Energien Hamburg Cluster (EEHH) in Auftrag gegebene Studie sollte vor dem Hintergrund eines angestrebten Ausbaus der Nutzung erneuerbarer Energien in Hamburg eine Analyse der Solarpotenziale innerhalb des Hamburger Stadtgebiets erarbeiten. Die Ziele der Studie sind unterteilt in die systematische Ermittlung des Solarpotenzials für Hamburg sowie einer datenbasiert abgeleiteten Typologisierung der Hamburger Dachflächen zur Erstellung von Handlungsempfehlungen für repräsentativ ermittelte FallbeispielePublicationtype: Research Report64